Data Platform Engineer at Accenture

Bengaluru, Karnataka, India

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

TechnologyIndustries

Requirements

Minimum 12 year(s) of experience
Educational Qualification: 15 years full time education
Must have skills: Databricks Unified Data Analytics Platform
Strong grasp of Generative and Agentic AI, prompt engineering, and AI evaluation frameworks
Proven experience with AWS, Azure, or GCP in designing data engineering workflows and solutions
Expert-level knowledge of PySpark, Spark, and Big Data technologies
Extensive experience in data pipeline architecture, design, and optimization
Strong hands-on experience with large-scale ETL/ELT processes and integrating data into cloud-based platforms like S3, Blob Storage, BigQuery, and Redshift
Proficiency in Python, SQL, and scripting for data pipeline development
Ability to work with real-time data streaming tools like Kafka and batch processing tools
Experience leading cross-functional teams in the implementation of cloud-based data platforms and workflows
Solid understanding of data security, compliance, and governance in a cloud environment

Responsibilities

Assist with the data platform blueprint and design, encompassing the relevant data platform components
Collaborate with Integration Architects and Data Architects to ensure cohesive integration between systems and data models
Lead AI-driven solution design and delivery by applying GenAI and Agentic AI to address complex business challenges, automate processes, and integrate intelligent insights into enterprise workflows
Lead the design, development, and optimization of complex data pipelines using PySpark, Spark, and Big Data technologies
Architect data engineering solutions across major cloud platforms like AWS, Azure, or GCP
Lead efforts to design and build modular, reusable ETL/ELT pipelines to integrate data from various sources into cloud-based data lakes and data warehouses
Collaborate closely with cross-functional teams, including data scientists, analysts, and other engineering teams to develop and maintain large-scale data processing systems
Guide and mentor junior engineers in best practices for data engineering, cloud technologies, and big data solutions
Optimize and tune Spark and big data processing jobs to handle high-volume data efficiently and at scale
Ensure data security, privacy, and governance are maintained by enforcing best practices and policies across cloud platforms
Implement automated data testing and monitoring solutions to ensure data quality and pipeline reliability
Drive initiatives for real-time data processing, batch jobs, and analytics pipelines to support both operational and analytical needs
Advocate for continuous improvement, researching new tools and technologies to drive data engineering excellence

Skills

Databricks

PySpark

Spark

Big Data

AWS

Azure

GCP

ETL

ELT

Data Pipelines

Generative AI

Agentic AI

Accenture

Global professional services for digital transformation

About Accenture

Accenture provides a wide range of professional services, including strategy and consulting, technology, and operations, to help organizations improve their performance. Their services assist clients in navigating digital transformation, enhancing operational efficiency, and achieving sustainable growth. Accenture's offerings include cloud migration, cybersecurity, artificial intelligence, and data analytics, which are tailored to meet the needs of various industries such as financial services, healthcare, and retail. What sets Accenture apart from its competitors is its extensive industry knowledge and ability to deliver comprehensive solutions that address both immediate challenges and long-term goals. The company's aim is to support clients in reducing their environmental impact while driving innovation and growth.

Dublin, IrelandHeadquarters

1989Year Founded

$8.5MTotal Funding

IPOCompany Stage

Consulting, Enterprise Software, CybersecurityIndustries

10,001+Employees

Risks

Rapid AI advancements may outpace Accenture's current capabilities, risking competitive disadvantages.

Integration challenges from multiple acquisitions could affect Accenture's operational efficiency.

The rise of AI-driven startups may disrupt Accenture's market share in customer service solutions.

Differentiation

Accenture's acquisitions enhance its capabilities in digital twin technology for financial services.

The company is expanding its expertise in net-zero infrastructure through strategic acquisitions.

Accenture's focus on software-defined vehicles positions it as a leader in automotive innovation.

Upsides

Accenture's investment in EMTECH supports central bank modernization amid digital currency evolution.

The acquisition of Award Solutions boosts Accenture's presence in the growing 5G and IoT markets.

Accenture's strategic acquisitions align with high-growth markets like digital twins and net-zero projects.

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